Data Science Meetup: Machine Learning for Fraud Detection

Entrepreneurs and organizations across all industries currently deploy AI-based fraud detection tools to save millions of dollars annually in lost revenue. These tools leverage advanced statistical techniques to alert stakeholders of potentially suspicious activity by identifying anomalies -- which are rare items, events or observations that differ significantly from the majority of the data. In this brief talk, we will overview the current landscape of automated tools available for business to combat fraud. In particular, we will focus on how modern, cloud-based technology has made it easier than ever for businesses to make smarter decisions based on data.

About our Speaker

Michael Johnson is a Data Scientist at at Aviana Global Technologies with over 6 years experience designing and implementing quantitative research strategies. His background includes two master’s degrees and deep knowledge of a wide variety of business problems relevant to applied statistics. In addition, he is an active member of the American Statistical Association and is an Amazon AWS Certified Cloud Practitioner.